Image Representation Using Nonorthogonal Basis Images With Adaptive Weight Optimization

    Authors

    W. B. Mikhael;A. P. Berg

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    IEEE Signal Process. Lett.

    Keywords

    MIXED TRANSFORMS; SIGNALS; Engineering, Electrical & Electronic

    Abstract

    Image-coding techniques that employ subsets of nonorthogonal basis images chosen from two or more transform domains have been shown consistently to yield higher image quality than those based on one transform for a fixed compression ratio. However, these techniques have not been widely employed due to the very high computational complexity of existing formulations, This paper presents a new adaptive parallel mixed transform technique for image representation, Formulations are derived, adaptive algorithms are described, and results of simulations are presented. Excellent performance is achieved with greatly reduced computational complexity compared to existing mixed-transform techniques, making mixed-transform-based image coding practical.

    Journal Title

    Ieee Signal Processing Letters

    Volume

    3

    Issue/Number

    6

    Publication Date

    1-1-1996

    Document Type

    Article

    Language

    English

    First Page

    165

    Last Page

    167

    WOS Identifier

    WOS:A1996UQ71000001

    ISSN

    1070-9908

    Share

    COinS